避障最优路径系统研究

Research of urban traffic obstacle avoidance and early warning system

运用MATLAB建立车道障碍模型,通过各种算法,在MATLAB环境下设计车辆避障预警系统早已成为各大汽车厂商和研究所的核心,其规划路径的算法却大相径庭。通过对比3种常用算法在相同环境下路径规划,对其时间和空间上的特性进一步分析,得出规划算法是否最优。通过对比算法,可最大程度上减少路径规划的时间,得出最优的规划路径。最后通过对群智能算法的设置参数进行改进,从而优化传统算法,并通过设定函数验证论证结果。

The use of MATLAB in vehicle design and obstacle avoidance warning system has become the major automobile manu- facturers and Research Institute of the core in the MATLAB environment, the path planning algorithms can be quite different in this paper. By comparing the three kinds of path planning algorithm in the same environment, through further analysis on the time and space characteristics, the planning algorithms are optimal. By comparing the algorithm of path planning, can the maximum ex- tent reduce the path planning time and the optimal. At last, the parameters of the swarm intelligence algorithm are improved, so as to optimize the traditional algorithm, the result is proved by setting function.